Mesenchymal precursor cells in the blood of normal individuals

Abstract

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About

This paper, published in 1950, received 561 indexed citations. Written by Nathan J. Zvaifler, Gill Adams, Christopher Edwards, Jan A. Burger and Ravinder N. Maini covering the research area of Rheumatology, Genetics and Urology. It is primarily cited by scholars working on Genetics (431 citations), Surgery (246 citations) and Molecular Biology (148 citations). Published in Arthritis Research & Therapy.

In The Last Decade

doi.org/10.1186/ar130 →

Countries where authors are citing Mesenchymal precursor cells in the blood of normal individuals

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This map shows the geographic impact of Mesenchymal precursor cells in the blood of normal individuals. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Mesenchymal precursor cells in the blood of normal individuals with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mesenchymal precursor cells in the blood of normal individuals more than expected).

Fields of papers citing Mesenchymal precursor cells in the blood of normal individuals

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Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of Mesenchymal precursor cells in the blood of normal individuals. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Mesenchymal precursor cells in the blood of normal individuals.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

This paper is also available at doi.org/10.1186/ar130.

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